Authors / CoAuthors
Galaiduk, R. | Radford, B.
Abstract
This resource contains a probability of occurrence grid of macro algae for the greater Darwin Harbour region as part of a baseline seabed mapping program of Darwin Harbour and Bynoe Harbour. This project was funded through offset funds provided by an INPEX-led Ichthys LNG Project to the Northern Territory Government’s Department of Environment and Natural Resources (NTG-DENR) with co-investment from Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS). The intent of this program is to improve knowledge of the marine environments in the Darwin and Bynoe Harbour regions by collating and collecting baseline data that enable the creation of thematic habitat maps and information to underpin marine resource management decisions. The probability of occurrence grid of macro algae was derived from a compilation of multiple surveys undertaken by GA, AIMS and NTG-DENR between 2011 and 2017, including GA0333 (Siwabessy et al., 2015), GA0341 (Siwabessy et al., 2015), GA0351/SOL6187 (Siwabessy et al., 2016), GA4452/SOL6432 (Siwabessy et al., 2017), GA0356 (Radke et al., 2017), and GA0358 and GA0359 (Radke et al., 2018), adding to those from a previous survey GA0333 collected by GA, AIMS and NTG-DENR.
Product Type
dataset
eCat Id
127221
Contact for the resource
Point of contact for the resource
Point of contact
Point of contact
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia
Keywords
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- Habitat Mapping
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- Marine Environmental Baselines
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- Marine Survey
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- Exclusive Economic Zone
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- Published_External
Publication Date
2020-01-15T04:02:06
Creation Date
Security Constraints
Legal Constraints
Status
completed
Purpose
Maintenance Information
asNeeded
Topic Category
geoscientificInformation
Series Information
Lineage
The goal of the program was developing comprehensive inventories and maps of the distribution and abundance of physical and biological seabed habitats, seagrasses and benthic assemblages to provide baseline environmental mapping and a description of ecological patterns. The benthic habitat mapping was performed by utilising R/Python and Maxent software within the species distribution modelling domain. We correlated the probability of occurrence of individual benthic habitat classes with the environmental predictors developed forom the multibeam hydroacoustic dataset: bathymetry, aspect, slope, plan curvature, profile curvature, overall curvature, depth range, standard deviation of depth, average depth across spatial neighbourhoods. There are five maps for the probability of occurrence of individual benthic habitat classes: Macroalgae, Seagrass, Hard Corals, Filter feeders and Bare seafloor; and a maximum likelihood map incorporating all the individual layers (1- Macroalgae; 2- Filter Feeders; 3- Seagrass; 4- Hard Corals; 5- Bare seafloor).
Parent Information
Extents
[-12.77, -12.1, 130.25, 131]
Reference System
WGS 84 / UTM zone 52S (EPSG:32752)
Spatial Resolution
10m
Service Information
Associations
Source Information